Mitigation strategies for large language model hallucinations at the modeling level include Reinforcement Learning from Human Feedback (RLHF) (Ouyang et al., 2022), retrieval fusion (Lewis et al., 2020), and instruction tuning (Wang et al., 2022).

Authors

• Person: Not available Organization: Frontiers
  Survey and analysis of hallucinations in large language models

Sources

• Survey and analysis of hallucinations in large language models www.frontiersin.org Frontiers via serper

Referenced by nodes (4)

• Large Language Models concept
• hallucination concept
• Reinforcement learning from human feedback (RLHF) concept
• instruction tuning concept